General Suppression of Macrophage Gene Expression During <i>Leishmania donovani</i> Infection
Bibliographic record
Abstract
Within the mammalian host, Leishmania donovani is an obligatory intracellular protozoan that resides and multiplies exclusively in the phagolysosomes of macrophages. The outcome of this infection is governed by the interaction between Leishmania and macrophage molecules that ultimately effect the expression of genes within both cells. To explore the effect of this intracellular infection on macrophage gene expression, a cDNA expression array analysis was performed to compare gene expression profiles in noninfected and L. donovani-infected macrophages. In this manner, it was possible to examine the effect of infection on the expression of several hundred well-characterized host cell genes in an unbiased manner. Interestingly, approximately 40% of the genes whose expression was detected in macrophages were down-regulated during infection with L. donovani. However, several genes were also induced during the infection process, some of which could play a role in recruitment of additional macrophages to the site of infection. Taken together, the general suppression of gene expression in addition to the selective induction of key genes is likely to play an important role in allowing the parasite to survive and proliferate within its host macrophage cell.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".